Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2015-12-27 12:05:25	ga_s2am_ard_3-2-1_49JGM_2015-12-27_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HPK_2016-06-05_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HQG_2016-06-05_final
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50HMH_2016-08-10_final.stac-item
2016-09-22 12:04:37	ga_s2am_ard_3-2-1_50JKT_2016-09-22_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49JGL_2016-10-22_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_50JKR_2016-11-11_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HMJ_2016-11-15_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HNG_2016-11-15_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50JKQ_2017-01-30_final.stac-item
2017-03-05 11:44:15	ga_s2am_ard_3-2-1_50HQJ_2017-03-05_final.stac-item
2017-04-13 12:13:43	ga_s2am_ard_3-2-1_49KHQ_2017-04-13_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_49KHS_2017-04-20_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_50JKT_2017-07-09_final.stac-item
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_50JKN_2017-08-18_final.stac-item
2017-08-28 12:04:42	ga_s2am_ard_3-2-1_49JGN_2017-08-28_final.stac-item
2017-08-28 12:04:42	ga_s2am_ard_3-2-1_49JHN_2017-08-28_final.stac-item
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50JKN_2018-01-12_final.stac-item
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HQJ_2018-01-19_final.stac-item
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50JLL_2018-05-02_final.stac-item
2018-05-09 11:44:46	ga_s2am_ard_3-2-1_50HNK_2018-05-09_final.stac-item
2018-06-17 12:13:21	ga_s2am_ard_3-2-1_49JGN_2018-06-17_final.stac-item
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49KGP_2018-07-24_final.stac-item
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_50JKS_2018-07-24_final.stac-item
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50HLJ_2018-08-20_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JGN_2018-08-23_final.stac-item
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HPK_2018-08-27_final.stac-item
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JGJ_2018-09-02_final.stac-item
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_50JKR_2018-10-12_final.stac-item
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HNK_2018-10-16_final.stac-item
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_50HPK_2018-11-02_final.stac-item
2018-11-08 11:55:49	ga_s2am_ard_3-2-1_50JKN_2018-11-08_final.stac-item
2018-11-28 11:57:01	ga_s2am_ard_3-2-1_50HLH_2018-11-28_final.stac-item
2018-12-08 11:56:57	ga_s2am_ard_3-2-1_50HMH_2018-12-08_final.stac-item
2018-12-18 11:56:46	ga_s2am_ard_3-2-1_50HLJ_2018-12-18_final.stac-item
2018-12-28 11:55:52	ga_s2am_ard_3-2-1_50JKN_2018-12-28_final.stac-item
2019-01-04 11:46:28	ga_s2am_ard_3-2-1_50HPK_2019-01-04_final.stac-item
2019-03-01 12:05:39	ga_s2am_ard_3-2-1_49JGJ_2019-03-01_final.stac-item
2019-07-09 12:05:06	ga_s2am_ard_3-2-1_49JGM_2019-07-09_final.stac-item
2019-07-22 12:15:15	ga_s2am_ard_3-2-1_49JGL_2019-07-22_final.stac-item
2019-09-11 11:46:32	ga_s2am_ard_3-2-1_50HPK_2019-09-11_final.stac-item
2019-10-07 12:05:03	ga_s2am_ard_3-2-1_49JGM_2019-10-07_final.stac-item
2019-10-31 11:47:13	ga_s2am_ard_3-2-1_50HMH_2019-10-31_final.stac-item
2019-11-20 11:47:07	ga_s2am_ard_3-2-1_50HNH_2019-11-20_final.stac-item
2019-12-07 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2019-12-07_final.stac-item
2019-12-10 11:46:34	ga_s2am_ard_3-2-1_50HNK_2019-12-10_final.stac-item
2020-01-05 12:04:55	ga_s2am_ard_3-2-1_49JGM_2020-01-05_final.stac-item
2020-01-09 11:47:04	ga_s2am_ard_3-2-1_50HMH_2020-01-09_final.stac-item
2020-04-27 12:14:29	ga_s2am_ard_3-2-1_49KGP_2020-04-27_final.stac-item
2020-05-04 12:05:04	ga_s2am_ard_3-2-1_49JGM_2020-05-04_final.stac-item
2020-06-14 11:36:58	ga_s2am_ard_3-2-1_50HPJ_2020-06-14_final.stac-item
2020-08-02 12:06:01	ga_s2am_ard_3-2-1_50JKN_2020-08-02_final.stac-item
2020-08-23 11:37:08	ga_s2am_ard_3-2-1_50HQH_2020-08-23_final.stac-item
2020-09-18 11:57:14	ga_s2am_ard_3-2-1_50HLH_2020-09-18_final.stac-item
2020-10-08 11:56:46	ga_s2am_ard_3-2-1_50HLK_2020-10-08_final.stac-item
2020-11-27 11:56:31	ga_s2am_ard_3-2-1_50HNK_2020-11-27_final.stac-item
2020-12-24 11:46:47	ga_s2am_ard_3-2-1_50HMK_2020-12-24_final.stac-item
2021-01-03 11:47:10	ga_s2am_ard_3-2-1_50HMH_2021-01-03_final.stac-item
2021-01-03 11:47:24	ga_s2am_ard_3-2-1_50HMG_2021-01-03_final
2021-02-05 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-02-05_final.stac-item
2021-02-08 12:04:56	ga_s2am_ard_3-2-1_50JKS_2021-02-08_final.stac-item
2021-02-09 11:37:20	ga_s2am_ard_3-2-1_50HPG_2021-02-09_final
2021-02-15 11:57:19	ga_s2am_ard_3-2-1_50HMG_2021-02-15_final
2021-03-10 12:03:44	ga_s2am_ard_3-2-1_49KHS_2021-03-10_final
2021-03-24 11:47:08	ga_s2am_ard_3-2-1_50HMH_2021-03-24_final.stac-item
2021-03-24 11:47:13	ga_s2am_ard_3-2-1_50HLH_2021-03-24_final.stac-item
2021-04-29 12:04:40	ga_s2am_ard_3-2-1_49JHN_2021-04-29_final.stac-item
2021-04-29 12:04:40	ga_s2am_ard_3-2-1_50JKT_2021-04-29_final.stac-item
2021-06-01 12:15:11	ga_s2am_ard_3-2-1_49JGL_2021-06-01_final.stac-item
2021-06-11 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-06-11_final.stac-item
2021-06-18 12:05:10	ga_s2am_ard_3-2-1_49JGL_2021-06-18_final.stac-item
2021-06-19 11:37:03	ga_s2am_ard_3-2-1_50HQH_2021-06-19_final.stac-item
2021-07-08 12:04:49	ga_s2am_ard_3-2-1_49JGN_2021-07-08_final.stac-item
2021-07-09 11:37:21	ga_s2am_ard_3-2-1_50HQG_2021-07-09_final
2021-07-18 12:04:02	ga_s2am_ard_3-2-1_49KHR_2021-07-18_final.stac-item
2021-08-01 11:47:13	ga_s2am_ard_3-2-1_50HMH_2021-08-01_final.stac-item
2021-08-08 11:37:05	ga_s2am_ard_3-2-1_50HQH_2021-08-08_final.stac-item
2021-08-11 11:47:05	ga_s2am_ard_3-2-1_50HPH_2021-08-11_final.stac-item
2021-08-11 11:47:12	ga_s2am_ard_3-2-1_50HMH_2021-08-11_final.stac-item
2021-08-11 11:47:23	ga_s2am_ard_3-2-1_50HNG_2021-08-11_final
2021-08-17 12:04:30	ga_s2am_ard_3-2-1_49KHP_2021-08-17_final.stac-item
2021-08-17 12:05:19	ga_s2am_ard_3-2-1_49JGL_2021-08-17_final.stac-item
2021-08-27 12:05:28	ga_s2am_ard_3-2-1_50JKQ_2021-08-27_final.stac-item
2021-09-07 11:37:13	ga_s2am_ard_3-2-1_50HPH_2021-09-07_final.stac-item
2021-09-29 12:13:44	ga_s2am_ard_3-2-1_49KHS_2021-09-29_final
2021-10-10 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2021-10-10_final.stac-item
2021-10-23 11:56:05	ga_s2am_ard_3-2-1_50JKN_2021-10-23_final.stac-item
2022-02-23 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2022-02-23_final.stac-item
2022-03-25 12:05:00	ga_s2am_ard_3-2-1_50JKS_2022-03-25_final.stac-item
2022-06-04 11:36:56	ga_s2am_ard_3-2-1_50HQJ_2022-06-04_final.stac-item
2022-09-28 11:56:07	ga_s2am_ard_3-2-1_50JKN_2022-09-28_final.stac-item
2022-12-31 11:36:37	ga_s2am_ard_3-2-1_50HPK_2022-12-31_final.stac-item
2023-01-19 12:03:39	ga_s2am_ard_3-2-1_49KHS_2023-01-19_final
2023-04-13 11:46:34	ga_s2am_ard_3-2-1_50HPK_2023-04-13_final
2023-04-26 11:55:59	ga_s2am_ard_3-2-1_50JKN_2023-04-26_final
2023-05-13 11:47:06	ga_s2am_ard_3-2-1_50HNH_2023-05-13_final
2023-06-11 12:15:14	ga_s2am_ard_3-2-1_49JGL_2023-06-11_final
2023-10-03 11:57:11	ga_s2am_ard_3-2-1_50HLH_2023-10-03_final
2023-11-15 12:05:39	ga_s2am_ard_3-2-1_50JKP_2023-11-15_final
2024-02-26 12:13:39	ga_s2am_ard_3-2-1_49KHS_2024-02-26_final

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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